Triple

T1450240
Position Surface form Disambiguated ID Type / Status
Subject North Texas Regional Airport E31273 entity
Predicate serves P98 FINISHED
Object Denison, Texas E3097 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Denison, Texas | Statement: [North Texas Regional Airport, serves, Denison, Texas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denison, Texas
Context triple: [North Texas Regional Airport, serves, Denison, Texas]
  • A. Denison, Texas, United States chosen
    Denison, Texas, United States, is a North Texas city best known as the birthplace of U.S. President Dwight D. Eisenhower.
  • B. DeSoto, Texas
    DeSoto, Texas is a suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities and proximity to Dallas.
  • C. Ennis, Texas
    Ennis, Texas is a small city in North Texas known for its annual National Polka Festival and its designation as the “Official Bluebonnet City of Texas.”
  • D. Dorchester, Texas
    Dorchester, Texas is a small rural community located in Grayson County in north-central Texas.
  • E. Mesquite, Texas
    Mesquite, Texas is a suburban city in the eastern part of the Dallas–Fort Worth area known for its strong retail centers, rodeo heritage, and family-oriented residential communities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a499171a28819085b993a3ac78e363 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c55d923c8190957756f834f94462 completed March 1, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eec2a3f081909aa9f32ff5537a3c completed March 11, 2026, 10:37 p.m.
Created at: March 1, 2026, 8 p.m.